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20000sumt5 – AI Model by Tawanmeansthesun | AlphaNeural AI
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20000sumt5
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
apache-2.0
text-generation-inference
endpoints_compatible
us
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20000sumt5
This model is a fine-tuned version of
google-t5/t5-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.3985
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-05
train_batch_size: 4
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
2.5957
1.0
4000
2.4213
2.561
2.0
8000
2.3985
Framework versions
Transformers 4.17.0
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2
